xref: /petsc/src/mat/impls/aij/seq/aijfact.c (revision da3a660d273b912abcae7b3f88d2c9355b68b6f0)
1 
2 
3 #include "aij.h"
4 #include "inline/spops.h"
5 /*
6     Factorization code for AIJ format.
7 */
8 
9 int MatiAIJLUFactorSymbolic(Mat mat,IS isrow,IS iscol,Mat *fact)
10 {
11   Matiaij *aij = (Matiaij *) mat->data, *aijnew;
12   IS      isicol;
13   int     *r,*ic, ierr, i, j, n = aij->m, *ai = aij->i, *aj = aij->j;
14   int     prow, *ainew,*ajnew, jmax,*fill, *ajtmp, nz , *ii;
15   int     *idnew, idx, pivot_row,row,m,fm, nnz, nzi,len;
16 
17   if (n != aij->n) SETERR(1,"Mat must be square");
18   if (!isrow) {SETERR(1,"Must have row permutation");}
19   if (!iscol) {SETERR(1,"Must have column permutation");}
20 
21   if (ierr = ISInvertPermutation(iscol,&isicol)) SETERR(ierr,0);
22   ISGetIndices(isrow,&r); ISGetIndices(isicol,&ic);
23 
24   /* get new row pointers */
25   ainew = (int *) MALLOC( (n+1)*sizeof(int) ); CHKPTR(ainew);
26   ainew[0] = 1;
27   /* don't know how many column pointers are needed so estimate */
28   jmax = 2*ai[n];
29   ajnew = (int *) MALLOC( (jmax)*sizeof(int) ); CHKPTR(ajnew);
30   /* fill is a linked list of nonzeros in active row */
31   fill = (int *) MALLOC( (n+1)*sizeof(int)); CHKPTR(fill);
32   /* idnew is location of diagonal in factor */
33   idnew = (int *) MALLOC( (n+1)*sizeof(int)); CHKPTR(idnew);
34   idnew[0] = 1;
35 
36   for ( i=0; i<n; i++ ) {
37     /* first copy previous fill into linked list */
38     nnz = nz    = ai[r[i]+1] - ai[r[i]];
39     ajtmp = aj + ai[r[i]] - 1;
40     fill[n] = n;
41     while (nz--) {
42       fm = n;
43       idx = ic[*ajtmp++ - 1];
44       do {
45         m = fm;
46         fm = fill[m];
47       } while (fm < idx);
48       fill[m] = idx;
49       fill[idx] = fm;
50     }
51     row = fill[n];
52     while ( row < i ) {
53       ajtmp = ajnew + idnew[row] - 1;
54       nz = ainew[row+1] - idnew[row];
55       fm = row;
56       while (nz--) {
57         fm = n;
58         idx = *ajtmp++ - 1;
59         do {
60           m = fm;
61           fm = fill[m];
62         } while (fm < idx);
63         if (fm != idx) {
64           fill[m] = idx;
65           fill[idx] = fm;
66           fm = idx;
67           nnz++;
68         }
69       }
70       row = fill[row];
71     }
72     /* copy new filled row into permanent storage */
73     ainew[i+1] = ainew[i] + nnz;
74     if (ainew[i+1] > jmax+1) {
75       /* allocate a longer ajnew */
76       jmax += nnz*(n-i);
77       ajtmp = (int *) MALLOC( jmax*sizeof(int) );CHKPTR(ajtmp);
78       MEMCPY(ajtmp,ajnew,(ainew[i]-1)*sizeof(int));
79       FREE(ajnew);
80       ajnew = ajtmp;
81     }
82     ajtmp = ajnew + ainew[i] - 1;
83     fm = fill[n];
84     nzi = 0;
85     while (nnz--) {
86       if (fm < i) nzi++;
87       *ajtmp++ = fm + 1;
88       fm = fill[fm];
89     }
90     idnew[i] = ainew[i] + nzi;
91   }
92 
93   ISDestroy(isicol); FREE(fill);
94 
95   /* put together the new matrix */
96   ierr = MatCreateSequentialAIJ(n, n, 0, 0, fact); CHKERR(ierr);
97   aijnew = (Matiaij *) (*fact)->data;
98   FREE(aijnew->imax);
99   aijnew->singlemalloc = 0;
100   len = (ainew[n] - 1)*sizeof(Scalar);
101   /* the next line frees the default space generated by the Create() */
102   FREE(aijnew->a); FREE(aijnew->ilen);
103   aijnew->a         = (Scalar *) MALLOC( len ); CHKPTR(aijnew->a);
104   aijnew->j         = ajnew;
105   aijnew->i         = ainew;
106   aijnew->diag      = idnew;
107   aijnew->ilen      = 0;
108   aijnew->imax      = 0;
109   (*fact)->row      = isrow;
110   (*fact)->col      = iscol;
111   (*fact)->factor   = FACTOR_LU;
112   return 0;
113 }
114 
115 int MatiAIJLUFactorNumeric(Mat mat,Mat *infact)
116 {
117   Mat     fact = *infact;
118   Matiaij *aij = (Matiaij *) mat->data, *aijnew = (Matiaij *)fact->data;
119   IS      iscol = fact->col, isrow = fact->row, isicol;
120   int     *r,*ic, ierr, i, j, n = aij->m, *ai = aijnew->i, *aj = aijnew->j;
121   int     prow, *ainew,*ajnew, jmax,*fill, *ajtmpold, *ajtmp, nz , *ii;
122   int     *idnew, idx, pivot_row,row,*pj, m,fm, nnz, nzi,len;
123   Scalar  *rtmp,*vnew,*v, *pv, *pc, multiplier;
124 
125   if (ierr = ISInvertPermutation(iscol,&isicol)) SETERR(ierr,0);
126   ierr = ISGetIndices(isrow,&r); CHKERR(ierr);
127   ierr = ISGetIndices(isicol,&ic); CHKERR(ierr);
128   rtmp = (Scalar *) MALLOC( (n+1)*sizeof(Scalar) ); CHKPTR(rtmp);
129 
130   for ( i=0; i<n; i++ ) {
131     nz = ai[i+1] - ai[i];
132     ajtmp = aj + ai[i] - 1;
133     for  ( j=0; j<nz; j++ ) rtmp[ajtmp[j]-1] = 0.0;
134 
135     /* load in initial (unfactored row) */
136     nz = aij->i[r[i]+1] - aij->i[r[i]];
137     ajtmpold = aij->j + aij->i[r[i]] - 1;
138     v  = aij->a + aij->i[r[i]] - 1;
139     for ( j=0; j<nz; j++ ) rtmp[ic[ajtmpold[j]-1]] =  v[j];
140 
141     row = *ajtmp++ - 1;
142     while (row < i) {
143       pc = rtmp + row;
144       if (*pc != 0.0) {
145         nz = aijnew->diag[row] - ai[row];
146         pv = aijnew->a + aijnew->diag[row] - 1;
147         pj = aijnew->j + aijnew->diag[row];
148         multiplier = *pc * *pv++;
149         *pc = multiplier;
150         nz = ai[row+1] - ai[row] - 1 - nz;
151         while (nz-->0) rtmp[*pj++ - 1] -= multiplier* *pv++;
152       }
153       row = *ajtmp++ - 1;
154     }
155     /* finished row so stick it into aijnew->a */
156     pv = aijnew->a + ai[i] - 1;
157     pj = aijnew->j + ai[i] - 1;
158     nz = ai[i+1] - ai[i];
159     rtmp[i] = 1.0/rtmp[i];
160     for ( j=0; j<nz; j++ ) {pv[j] = rtmp[pj[j]-1];}
161   }
162   FREE(rtmp);
163   ierr = ISRestoreIndices(isicol,&ic); CHKERR(ierr);
164   ierr = ISRestoreIndices(isrow,&r); CHKERR(ierr);
165   ierr = ISDestroy(isicol); CHKERR(ierr);
166   fact->factor = FACTOR_LU;
167 
168   return 0;
169 }
170 int MatiAIJLUFactor(Mat matin,IS row,IS col)
171 {
172   Matiaij *mat = (Matiaij *) matin->data;
173   int     ierr, info;
174   Mat     fact;
175   ierr = MatiAIJLUFactorSymbolic(matin,row,col,&fact); CHKERR(ierr);
176   ierr = MatiAIJLUFactorNumeric(matin,&fact); CHKERR(ierr);
177 
178   /* free all the data structures from mat */
179   FREE(mat->a);
180   if (!mat->singlemalloc) {FREE(mat->i); FREE(mat->j);}
181   if (mat->diag) FREE(mat->diag);
182   if (mat->ilen) FREE(mat->ilen);
183   if (mat->imax) FREE(mat->imax);
184   if (matin->row && matin->col && matin->row != matin->col) {
185     ISDestroy(matin->row);
186   }
187   if (matin->col) ISDestroy(matin->col);
188   FREE(mat);
189 
190   MEMCPY(matin,fact,sizeof(struct _Mat));
191   FREE(fact);
192   return 0;
193 }
194 
195 int MatiAIJSolve(Mat mat,Vec bb, Vec xx)
196 {
197   Matiaij *aij = (Matiaij *) mat->data;
198   IS      iscol = mat->col, isrow = mat->row;
199   int     *r,*c, ierr, i, j, n = aij->m, *vi, *ai = aij->i, *aj = aij->j;
200   int     nz;
201   Scalar  *x,*b,*tmp, *aa = aij->a, sum, *v;
202 
203   if (ierr = VecGetArray(bb,&b)) SETERR(ierr,0);
204   if (ierr = VecGetArray(xx,&x)) SETERR(ierr,0);
205   tmp = (Scalar *) MALLOC(n*sizeof(Scalar)); CHKPTR(tmp);
206 
207   if (ierr = ISGetIndices(isrow,&r)) SETERR(ierr,0);
208   if (ierr = ISGetIndices(iscol,&c)) SETERR(ierr,0); c = c + (n-1);
209 
210   /* forward solve the lower triangular */
211   tmp[0] = b[*r++];
212   for ( i=1; i<n; i++ ) {
213     v   = aa + ai[i] - 1;
214     vi  = aj + ai[i] - 1;
215     nz  = aij->diag[i] - ai[i];
216     sum = b[*r++];
217     while (nz--) sum -= *v++ * tmp[*vi++ - 1];
218     tmp[i] = sum;
219   }
220 
221   /* backward solve the upper triangular */
222   for ( i=n-1; i>=0; i-- ){
223     v   = aa + aij->diag[i];
224     vi  = aj + aij->diag[i];
225     nz  = ai[i+1] - aij->diag[i] - 1;
226     sum = tmp[i];
227     while (nz--) sum -= *v++ * tmp[*vi++ - 1];
228     x[*c--] = tmp[i] = sum*aa[aij->diag[i]-1];
229   }
230 
231   FREE(tmp);
232   return 0;
233 }
234 int MatiAIJSolveAdd(Mat mat,Vec bb, Vec yy, Vec xx)
235 {
236   Matiaij *aij = (Matiaij *) mat->data;
237   IS      iscol = mat->col, isrow = mat->row;
238   int     *r,*c, ierr, i, j, n = aij->m, *vi, *ai = aij->i, *aj = aij->j;
239   int     nz;
240   Scalar  *x,*b,*tmp, *aa = aij->a, sum, *v;
241 
242   if (yy != xx) {ierr = VecCopy(yy,xx); CHKERR(ierr);}
243 
244   if (ierr = VecGetArray(bb,&b)) SETERR(ierr,0);
245   if (ierr = VecGetArray(xx,&x)) SETERR(ierr,0);
246   tmp = (Scalar *) MALLOC(n*sizeof(Scalar)); CHKPTR(tmp);
247 
248   if (ierr = ISGetIndices(isrow,&r)) SETERR(ierr,0);
249   if (ierr = ISGetIndices(iscol,&c)) SETERR(ierr,0); c = c + (n-1);
250 
251   /* forward solve the lower triangular */
252   tmp[0] = b[*r++];
253   for ( i=1; i<n; i++ ) {
254     v   = aa + ai[i] - 1;
255     vi  = aj + ai[i] - 1;
256     nz  = aij->diag[i] - ai[i];
257     sum = b[*r++];
258     while (nz--) sum -= *v++ * tmp[*vi++ - 1];
259     tmp[i] = sum;
260   }
261 
262   /* backward solve the upper triangular */
263   for ( i=n-1; i>=0; i-- ){
264     v   = aa + aij->diag[i];
265     vi  = aj + aij->diag[i];
266     nz  = ai[i+1] - aij->diag[i] - 1;
267     sum = tmp[i];
268     while (nz--) sum -= *v++ * tmp[*vi++ - 1];
269     tmp[i] = sum*aa[aij->diag[i]-1];
270     x[*c--] += tmp[i];
271   }
272 
273   FREE(tmp);
274   return 0;
275 }
276 /* -------------------------------------------------------------------*/
277 int MatiAIJSolveTrans(Mat mat,Vec bb, Vec xx)
278 {
279   Matiaij *aij = (Matiaij *) mat->data;
280   IS      iscol = mat->col, isrow = mat->row, invisrow,inviscol;
281   int     *r,*c, ierr, i, j, n = aij->m, *vi, *ai = aij->i, *aj = aij->j;
282   int     nz;
283   Scalar  *x,*b,*tmp, *aa = aij->a, sum, *v;
284 
285   if (ierr = VecGetArray(bb,&b)) SETERR(ierr,0);
286   if (ierr = VecGetArray(xx,&x)) SETERR(ierr,0);
287   tmp = (Scalar *) MALLOC(n*sizeof(Scalar)); CHKPTR(tmp);
288 
289   /* invert the permutations */
290   ierr = ISInvertPermutation(isrow,&invisrow); CHKERR(ierr);
291   ierr = ISInvertPermutation(iscol,&inviscol); CHKERR(ierr);
292 
293 
294   if (ierr = ISGetIndices(invisrow,&r)) SETERR(ierr,0);
295   if (ierr = ISGetIndices(inviscol,&c)) SETERR(ierr,0);
296 
297   /* copy the b into temp work space according to permutation */
298   for ( i=0; i<n; i++ ) tmp[c[i]] = b[i];
299 
300   /* forward solve the U^T */
301   for ( i=0; i<n; i++ ) {
302     v   = aa + aij->diag[i] - 1;
303     vi  = aj + aij->diag[i];
304     nz  = ai[i+1] - aij->diag[i] - 1;
305     tmp[i] *= *v++;
306     while (nz--) {
307       tmp[*vi++ - 1] -= (*v++)*tmp[i];
308     }
309   }
310 
311   /* backward solve the L^T */
312   for ( i=n-1; i>=0; i-- ){
313     v   = aa + aij->diag[i] - 2;
314     vi  = aj + aij->diag[i] - 2;
315     nz  = aij->diag[i] - ai[i];
316     while (nz--) {
317       tmp[*vi-- - 1] -= (*v--)*tmp[i];
318     }
319   }
320 
321   /* copy tmp into x according to permutation */
322   for ( i=0; i<n; i++ ) x[r[i]] = tmp[i];
323 
324   ISDestroy(invisrow); ISDestroy(inviscol);
325 
326   FREE(tmp);
327   return 0;
328 }
329 
330 int MatiAIJSolveTransAdd(Mat mat,Vec bb, Vec xx,Vec zz)
331 {
332   Matiaij *aij = (Matiaij *) mat->data;
333 }
334